Head of Product Marketing

Why Mend.io

We are redefining how modern organizations secure software from open source and custom code to AI-generated components. As the creators of the first AI Native AppSec Platform, we help global enterprises stay safe, fast, and compliant in an era of AI-driven development. Our platform combines intelligent automation, deep risk visibility, and developer-first experiences, shaping the future of application security.

We are also committed to building a collaborative, empowering workplace. If you are excited about this role but do not meet every requirement, we encourage you to apply. Your perspective could be exactly what we need!

As we continue to scale globally, we are seeking a strategic, market-driven Head of Product Marketing to define our positioning, sharpen our differentiation, and accelerate revenue growth, including establishing Mend.io as the definitive voice in AI Security and expanding our reach through direct, channel, and technology alliance partnerships.

Location: US (Remote)

Reports to: Chief Marketing Officer

Direct reports: Two PMMs

This role will lead Mend.io 's product marketing strategy and execution across our application security, AI Security, and software supply chain security offerings. This leader will own messaging, positioning, competitive strategy, pricing and packaging input, analyst relations, partner and alliance marketing deliverables, and go-to-market enablement.

This is a highly cross-functional role, working closely with Product, Sales, Business Development/Alliances, Customer Success, Demand Generation, and Executive Leadership to drive pipeline growth, market expansion, and category leadership.

Our Culture

At Mend.io , we are leading the way in securing AI-powered applications, and we believe the best innovations come from teams where everyone feels valued. We are committed to a workplace built on respect, trust, and growth, where learning and flexibility empower people to do their best work.

Responsibilities

Define and evolve Mend.io 's category narrative, positioning, and differentiated value proposition, with AI Security as a core pillar of the company's forward-looking strategy; Shape and refine ICP segmentation and buyer personas across enterprise security, AI Security, AppSec, DevSecOps, and engineering leadership; Drive go-to-market strategy for new product launches and major releases, including AI Security capabilities and partner-delivered solutions; Translate product capabilities into compelling business value for CISOs and security decision-makers; Develop clear, differentiated messaging frameworks aligned with key verticals and use cases, including securing AI-generated code, AI productivity agents, and AI/ML application risk; Own core messaging across the website, sales materials, field enablement, and campaigns; Elevate Mend's thought leadership in AI Security, open source security, AST, and software supply chain security; Build scalable sales enablement programs, including playbooks, pitch decks, battlecards, ROI tools, and objection-handling frameworks; Partner with Sales Leadership to evaluate win rates and shorten sales cycles; Support enterprise deals with strategic messaging and competitive insights; Lead cross-functional product launch processes; Ensure cohesive positioning across Mend.io 's platform and modules, including AI Security offerings; Influence roadmap prioritization through market and competitive insights; Establish a structured competitive intelligence function, including tracking the emerging AI Security vendor landscape; Analyze market trends, industry shifts, and emerging threats impacting AppSec and AI Security; Equip sales teams with actionable competitive differentiation; Develop and execute partner marketing deliverables across direct, channel, and technology alliance partnerships to expand Mend.io 's reach and influence; Build joint value propositions, co-marketing campaigns, and enablement content with strategic technology alliance partners, such as cloud, CI/CD, SIEM/SOAR, and AI development platform providers; Partner with Business Development/Alliances to create channel partner enablement, including partner playbooks, training, and co-selling materials for resellers, MSSPs, and GSIs; Support joint go-to-market motions with technology alliances, such as marketplace listings, integrations, and co-branded campaigns; Represent Mend.io at partner-facing events, joint webinars, and alliance business reviews; Lead analyst relations to strengthen positioning in industry reports from Gartner, Forrester, IDC, and others, including emerging AI Security categories; Represent Mend.io at key industry events, conferences, and executive briefings; Participate in and influence the content delivery arc for the product roadmap; Build, mentor, and scale a high-performing product marketing team; Establish measurable goals tied to pipeline contribution, win rates, and product adoption

Requirements

10–15+ years of B2B SaaS marketing experience, with 5+ years in senior product marketing leadership; Strong background in cybersecurity, application security, AI Security, DevSecOps, or developer-focused SaaS; Proven experience marketing to enterprise buyers, CISOs, security leaders, and platform engineering leaders; Demonstrated success in scaling product marketing at a growth-stage company; Experience supporting complex, multi-stakeholder enterprise sales cycles; Experience developing and executing partner marketing programs across direct, channel, and technology alliance partnerships, familiarity with partner ecosystems, including marketplaces, ISVs, MSSPs/resellers, and GSIs, is a plus; Understanding of AI/ML security concepts and the risks associated with AI-generated code, or a strong ability to quickly build fluency in this space; Strong executive communication and storytelling skills; Analytical mindset with experience leveraging market and performance data to drive strategy. Experience with operational systems such as SFDC and Jira; Experience working with industry analysts and influencing market perception; Comfort with and experience leveraging AI-enabled tools, including large language models, to drive efficiency and results